Framework for the effective use of teaching videos

Abstract

With the advent of open university courseware within and outside Japan, public awareness regarding the availability of university courses is improving. Video analysis or non-structured data analysis has also progressed because of advances in big data analysis. However, while public teaching options have advanced, the effective use of lesson videos is yet to be realized. In this study, we make effective use of video images during teaching sessions and create an environment to facilitate student learning. Rather than analyzing teaching videos ex post facto, we analyze video ratings based on student assessments such that they can contribute more effective reviews after completing their coursework. Specifically, in this study, students analyze the time requirements for specific coursework and describe the essential aspects of their coursework to increase their learning efficiency. This metric is utilized in ordinary classes, but it is also available for remote lessons.